Systematic detection of errors in genetic linkage data.
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Abstract | Construction of dense genetic linkage maps is hampered, in practice, by the occurrence of laboratory typing errors. Even relatively low error rates cause substantial map expansion and interfere with the determination of correct genetic order. Here, we describe a systematic method for overcoming these difficulties, based on incorporating the possibility of error into the usual likelihood model for linkage analysis. Using this approach, it is possible to construct genetic maps allowing for error and to identify the typings most likely to be in error. The method has been implemented for F2 intercrosses between two inbred strains, a situation relevant to the construction of genetic maps in experimental organisms. Tests involving both simulated and real data are presented, showing that the method detects the vast majority of errors. |
Year of Publication | 1992
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Journal | Genomics
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Volume | 14
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Issue | 3
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Pages | 604-10
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Date Published | 1992 Nov
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ISSN | 0888-7543
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PubMed ID | 1427888
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Grant list | P50HG00098 / HG / NHGRI NIH HHS / United States
R01HG00126 / HG / NHGRI NIH HHS / United States
R01HG00316 / HG / NHGRI NIH HHS / United States
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